Zoox is looking for an Infrastructure Engineer - Mass Simulation to help architect, automate and scale our AI verification pipeline. In this role, you will put large-scale evaluation algorithms into production, you will optimize code architecture for efficiency, and you will ensure the robustness of our pipeline through adequate test coverage and monitoring tools. You will tightly collaborate with engineers designing cutting-edge optimization and sampling algorithms that put the AI to the test. You will be responsible for producing critical metrics that drive executive decisions for the deployment of our driverless robot on public roads.

Responsibilities

  • Architect scalable and distributed pipelines for an optimal execution of the algorithms 
  • Automate multi-stage framework with monitoring and retry capabilities 
  • Scale throughput of the pipeline 
  • Build adequate unit and integration tests to ensure continuity with other SW services and overall pipeline reliability.
  • Leverage your understanding of algorithms to make smart decisions about framework architecture
  • Hold AI Verification Tooling Pipeline up to regular CI standards while managing the complexity of the analyses involved.

Qualifications

  • Fluency in Python
  • Bachelor’s or Master’s Degree in computer science, applied mathematics, engineering, or other quantitative area
  • 7+ years of industry experience in software engineering or data engineering
  • Strong experience with building and productizing large-scale pipelines producing critical metrics.
  • Collaborative team player with strong written and in-person communication skills

Bonus Qualifications

  • Master’s or PhD Degree in a quantitative area 
  • Experience with quantitative analysis of complex systems, probability and statistics
  • Rigorous verification campaign experience
  • Experience with cloud and infra technologies (AWS, S3, SQL, Databricks, Airflow) and coding best practices (GitHub)
About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.


A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.